Engineering Manager (Core Cloud Platform)

Join Lambda, a leading company in the AI and GPU infrastructure industry. As an Engineering Manager for our Core Cloud Platform organization, you will lead a team responsible for building and operating foundational platform services. You will own the technical roadmap, ensure reliable operation across multiple data centers and regions, and collaborate with cross-functional partners. This is a high-leverage role at the intersection of cloud infrastructure, distributed systems, Kubernetes, and customer experience.

Lead the design, implementation, and production operation of foundational cloud-platform services, ensuring reliability and efficiency.

Responsibilities

• Own the technical roadmap for making the platform more distributed, resilient, observable, and operationally efficient, and partner with senior engineers to set technical direction.
• Lead and grow a team of senior and staff engineers; hire exceptionally, develop people, maintain a high-performance bar, and address underperformance directly.
• Learning through failure: turns operational and organizational failures into stronger systems and lasting improvements
• Excellent cross-functional collaboration and a proven ability to drive alignment across infrastructure, platform, and product teams
• Business and customer alignment: connects technical priorities to the outcomes that matter for Lambda and its customers

Requirements

• 7+ years of software engineering individual-contributor experience, including principal- or staff-level ownership of mission-critical distributed systems
• 8+ years implementing business-critical services in Python or Go, from conception through production
• Experience building systems that coordinate across multiple independently owned infrastructure services (compute, networking, and storage) without owning them directly
• Low ego and strong collaboration: handles disagreement directly, learns when wrong, and builds productive cross-functional relationships
• Background in multi-region deployment strategies, cross-datacenter state management, and high-availability architectures
• Hands-on when needed: able to get into the details when the team or system needs it without becoming the long-term bottleneck
• 4+ years of engineering management experience with a demonstrated track record of growing high-performing teams
• Strong track record of owning projects end to end: architecture, delivery, operations, and continuous improvement
• Systems builder: creates teams, processes, and technical foundations that operate effectively without constant intervention
• Sound judgment: makes decisions with incomplete information, manages risk, and changes direction when the evidence changes
• Agency with context: finds responsible paths through obstacles without creating unnecessary risk or operating as a cowboy
• High accountability: takes responsibility for delivery and production outcomes and does not tolerate systems remaining unreliable
• Awareness of the evolving bare-metal and GPU infrastructure ecosystem, including tools like NVIDIA NiCo (NCX Infra Controller) for DPU-enforced lifecycle automation, BlueField DPU capabilities, and emerging industry standards for multi-tenant bare-metal management
• Experience in the AI, ML, or GPU hardware industry
• Experience evaluating or adopting vendor infrastructure tooling into an existing platform, performing a full migration, and exercising judgment in assessing fit, risk, and timing
• Proven track record designing large-scale cloud IaaS platforms from the ground up
• Exposure to IPO readiness, enterprise compliance, or security requirements at scale

Preferred

• Familiarity with Kubernetes or Slurm

Pay

USD 330,000 - 440,000